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DeepSeek-V2.5

Open weights DeepSeek · — · DeepSeek License

Intermediate checkpoint between DeepSeek-V2 and DeepSeek-V3. Merged the previously separate Chat (V2-0628) and Coder (Coder-V2-0724) tracks into a single model, reusing the V2 architecture (236B MoE, 21B active, MLA, 128K context) and adding function calling, JSON mode, and FIM completion.

Cost

$0.00 / Mtok input
$0.00 / Mtok output

· as of 2026-05-21

source ↗

Speed

0 tok/sec output
0 ms TTFT

· as of 2026-05-21

source ↗

Architecture

tokens in Embedding vocab not disclosed · deepseek tokenizer × N layers Multi-head Latent Attention RoPE + YaRN context 128,000 tokens MoE Router 160 experts total · 6 active per token shown: 32 of 160 Output projection tokens out
Schema-generated from data/models.yaml. Every label is auditable against the model's sources.

Specs

Architecture
moe
Total params
not disclosed
Active params
21B
Experts
160 total · 6 active
Context window
not verified
Attention
mla
Position encoding
rope-yarn
Post-training
sft, rlhf
OSI-approved
no
Data released
no
Training code
not released

Benchmarks

Each score carries the date it was published; we never infer or interpolate missing scores.

Code

HumanEval 89.0 as of 2024-09-05 source ↗
LiveCodeBench 41.8 as of 2024-09-05 source ↗

Recommended use cases

  • cost-efficient chat with code competence
  • long-context retrieval
  • function-calling agents

Available quantizations

GGUF llama.cpp's container; the common local format, k-quants from Q2 to Q8. runs on llama.cpp, Ollama
MLX Apple MLX 4/8-bit layout for Apple silicon. runs on Apple MLX

Verified via the Hugging Face model tree ↗. Community quantizations change over time; the families shown are those with published weights at audit time.

Notable innovations

  • · Chat + Coder track merger
  • · Function calling and FIM in a single checkpoint
  • · Safety score lifted to 82.6% (vs 74.4% for V2-0628)

Lineage

Combined the Chat and Coder tracks into one V2-architecture checkpoint, on the path to V3.

Derived from

DeepSeek-V2 Chat 2024-05-07

Derivatives

Sources